{"id":5526,"date":"2025-12-01T15:20:55","date_gmt":"2025-12-01T20:20:55","guid":{"rendered":"https:\/\/solutionsreview.com\/business-intelligence\/?p=5526"},"modified":"2026-02-12T16:19:39","modified_gmt":"2026-02-12T21:19:39","slug":"the-best-apache-spark-courses-and-online-training","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/business-intelligence\/the-best-apache-spark-courses-and-online-training\/","title":{"rendered":"The 12 Best Apache Spark Courses and Online Training for 2026"},"content":{"rendered":"

\"The<\/p>\n

The editors at Solutions Review have compiled this list of the best Apache Spark courses and online training to consider taking.<\/strong><\/em><\/p>\n

\"SRApache Spark is a unified analytics engine for large-scale data processing. It is noted for its high performance for both batch and streaming data by using a DAG scheduler, query optimizer, and a physical execution engine. Spark offers more than 80 high-level operators that can be used interactively from the Scala, Python, R, and SQL shells. The engine powers a stack of libraries including SQL and DataFrames, MLib for machine learning, GraphX, and Spark Streaming. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud.<\/p>\n

With this in mind, we’ve compiled this list of the best Apache Spark courses and online training to consider if you’re looking to grow your data analytics skills for work or play. This is not an exhaustive list, but one that features the best Apache Spark courses and online training from trusted online platforms. We made sure to mention and link to related courses on each platform that may be worth exploring as well.<\/p>\n

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You May Also Like<\/h3>\n

\"The<\/a><\/div>

The 16 Best Apache Spark Books on Our Reading List for 2023<\/a><\/h3>

…<\/p>Best Practices<\/a><\/span><\/span><\/div><\/div>
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\"Download<\/a><\/p>\n<\/div>\n\t\t<\/div><\/div>\n

The Best Apache Spark Courses<\/strong><\/h2>\n
<\/div>\n

TITLE: Introduction to Spark with sparklyr in R<\/a><\/span><\/strong><\/h3>\n

Platform:<\/strong> DataCamp<\/span><\/a><\/p>\n

Description:<\/strong> R is mostly optimized to help you write data analysis code quickly and readably. Apache Spark is designed to analyze huge datasets quickly. The\u00a0sparklyr<\/code>\u00a0package lets you write\u00a0dplyr<\/code>\u00a0R code that runs on a Spark cluster, giving you the best of both worlds. This course teaches you how to manipulate Spark DataFrames using both the\u00a0dplyr<\/code>\u00a0interface and the native interface to Spark, as well as trying machine learning techniques. Throughout the course, you’ll explore the Million Song Dataset.<\/p>\n

More “Top-Rated” DataCamp paths:<\/strong> Machine Learning with PySpark<\/a>, Introduction to Spark SQL in Python<\/a>, Cleaning Data with PySpark<\/a><\/em><\/p>\nGO TO TRAINING<\/a>\n

<\/div>\n

TITLE: Big Data Analysis with Scala and Spark<\/a><\/span><\/strong><\/h3>\n

Platform:<\/strong> Coursera<\/span><\/a><\/p>\n

Description:<\/strong> In this course, you’ll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. It covers Spark’s programming model in detail, being careful to understand how and when it differs from familiar programming models, like shared-memory parallel collections or sequential Scala collections. Through hands-on examples in Spark and Scala, you’ll learn when important issues related to distribution like latency and network communication should be considered and how they can be addressed effectively for improved performance.<\/p>\n

Related paths\/tracks:<\/strong> Scalable Machine Learning on Big Data using Apache Spark<\/a>, Distributed Computing with Spark SQLGO TO TRAINING<\/a><\/a><\/em><\/p>\nGO TO TRAINING<\/a>\n

<\/div>\n

TITLE: Apache Spark and Scala Certification Training<\/a><\/span><\/strong><\/h3>\n

Platform:<\/strong> Edureka<\/span><\/a><\/p>\n

Description:<\/strong> Apache Spark and Scala Certification Training is designed to prepare you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). You will gain in-depth knowledge on Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, Spark MLlib and Spark Streaming. You will get comprehensive knowledge on Scala Programming language, HDFS, Sqoop, Flume, Spark GraphX and messaging systems like Kafka.<\/p>\n

More “Top-Rated” Edureka paths:<\/strong> Python Spark Certification Training using PySpark<\/a><\/em><\/p>\nGO TO TRAINING<\/a>\n

<\/div>\n

TITLE: Apache Spark with Scala – Hands On with Big Data<\/a>!<\/span><\/strong><\/h3>\n

Platform:<\/strong> Udemy<\/span><\/a><\/p>\n

Description:<\/strong> This course is very hands-on; you’ll spend most of your time following along with the instructor as we write, analyze, and run real code together \u2013 both on your own system, and in the cloud using Amazon’s Elastic MapReduce service.\u00a07.5 hours of video\u00a0content is included, with\u00a0over 20\u00a0real examples\u00a0of increasing complexity you can build, run and study yourself. Move through them at your own pace, on your own schedule. The course wraps up with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX.<\/p>\n

More “Top-Rated” Udemy paths:<\/strong> Taming Big Data with Apache Spark and Python – Hands On!<\/a>, Streaming Big Data with Spark Streaming & Scala – Hands On!<\/a><\/em><\/p>\nGO TO TRAINING<\/a>\n

<\/div>\n

TITLE: Apache Spark, Scala and Storm Training<\/a><\/span><\/strong><\/h3>\n

Platform:<\/strong> Intellipaat<\/span><\/a><\/p>\n

Description:<\/strong> This is a combo course in Spark, Storm and Scala that is designed keeping in mind the industry requirements for high-speed processing of data. Taking this training will fully equip you with the skill sets to take on the challenges in the big data Hadoop ecosystem in the real world regardless of industry vertical. This training course includes learning the Apache Spark processing engine, along with programming in the general-purpose language Scala, and it provides in-depth knowledge of the Apache Storm computation system.<\/p>\n

More “Top-Rated” Intellipaat paths:<\/strong> Apache Spark and Scala Certification Training<\/a>, Big Data Hadoop, Spark, Storm and Scala Training<\/a><\/em><\/p>\nGO TO TRAINING<\/a>\n

<\/div>\n

TITLE: Big Data Hadoop Certification Training Course<\/a><\/span><\/strong><\/h3>\n

Platform:<\/strong> Simplilearn<\/span><\/a><\/p>\n

Description:<\/strong> The Big Data Hadoop certification training is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark. In this hands-on Hadoop course, you will execute real-life, industry-based projects using Integrated Lab. Professionals entering into Big Data Hadoop certification training should have a basic understanding of Core Java and SQL. If you wish to brush up on your Core Java skills, Simplilearn offers a complimentary self-paced course Java essentials for Hadoop when you enroll for this course.<\/p>\n

More “Top-Rated” Simplilearn paths:<\/strong> Apache Scala and Spark Certification Training<\/a><\/em><\/p>\nGO TO TRAINING<\/a>\n

<\/div>\n

TITLE: Apache Spark 3 with Scala: Hands On with Big Data!<\/a><\/span><\/strong><\/h3>\n

Platform:<\/strong> Skillshare<\/span><\/a><\/p>\n

Description:<\/strong> This course is very hands-on; you’ll spend most of your time following along with the instructor as we write, analyze, and run real code together \u2013 both on your own system, and in the cloud using Amazon’s Elastic MapReduce service.\u00a07.5 hours of video\u00a0content is included, with\u00a0over 20\u00a0real examples\u00a0of increasing complexity you can build, run and study yourself. Move through them at your own pace, on your own schedule. The course wraps up with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX.<\/p>\nGO TO TRAINING<\/a>\n

<\/div>\n

TITLE: Apache Spark SQL<\/a><\/span><\/strong><\/h3>\n

Platform:<\/strong> Experfy<\/span><\/a><\/p>\n

Description:<\/strong> In this course you’ll learn the physical components of a Spark cluster, and the Spark computing framework. You\u2019ll build your own local standalone cluster. You\u2019ll write Spark code. You\u2019ll learn how to run Spark jobs in a variety of ways. You\u2019ll create Spark tables and query them using SQL. You will learn a process for creating successful Spark applications. Students should have familiarity with Python and be comfortable using the Unix command line.<\/p>\nGO TO TRAINING<\/a>\n

<\/div>\n

TITLE: Apache Spark Fundamentals<\/a><\/span><\/strong><\/h3>\n

Platform:<\/strong> Pluralsight<\/span><\/a><\/p>\n

Description:<\/strong> In this course, you’ll learn Spark from the ground up, starting with its history before creating a Wikipedia analysis application as one of the means for learning a wide scope of its core API. That core knowledge will make it easier to look into Spark’s other libraries, such as the streaming and SQL APIs. Finally, you’ll learn how to avoid a few commonly encountered rough edges of Spark. You will leave this course with a tool belt capable of creating your own performance-maximized Spark application.<\/p>\n

More “Top-Rated” Pluralsight paths:<\/strong> Beginning Data Exploration and Analysis with Apache Spark<\/a>, Structured Streaming in Apache Spark 2<\/a><\/em><\/p>\nGO TO TRAINING<\/a>\n

<\/div>\n

TITLE: Apache Spark Essential Training<\/a><\/span><\/strong><\/h3>\n

Platform:<\/strong> LinkedIn Learning<\/span><\/a><\/p>\n

Description:<\/strong> In this course, get up to speed with Spark, and discover how to leverage this popular processing engine to deliver effective and comprehensive insights into your data. Instructor Ben Sullins provides an overview of the platform, going into the different components that make up Apache Spark. He shows how to analyze data in Spark using PySpark and Spark SQL, explores running machine learning algorithms using MLib, demonstrates how to create a streaming analytics application using Spark Streaming, and more.<\/p>\n

More “Top-Rated” LinkedIn Learning paths:<\/strong> Big Data Analytics with Hadoop and Apache Spark<\/a>, Apache PySpark by Example<\/a><\/em><\/p>\nGO TO TRAINING<\/a>\n

<\/div>\n

TITLE: Introduction to Apache Spark<\/a><\/span><\/strong><\/h3>\n

Platform:<\/strong> edX<\/span><\/a><\/p>\n

Description:<\/strong> This course covers advanced undergraduate-level material. It requires a programming background and experience with Python (or the ability to learn it quickly). All exercises will use PySpark (the Python API for Spark), but previous experience with Spark or distributed computing is NOT required. Students should take\u00a0this\u00a0Python mini-quiz<\/a> before the course and take\u00a0this<\/a>\u00a0Python mini-course if they need to learn Python or refresh their Python knowledge.<\/p>\n

More “Top-Rated” edX paths:<\/strong> Big Data Analysis with Apache Spark<\/a>, Distributed Machine Learning with Apache Spark<\/a><\/em><\/p>\nGO TO TRAINING<\/a>\n

<\/div>\n

TITLE: Data Streaming<\/a><\/span><\/strong><\/h3>\n

Platform:<\/strong> Udacity<\/span><\/a><\/p>\n

Description:<\/strong> Learn how to process data in real-time by building fluency in modern data engineering tools, such as Apache Spark, Kafka, Spark Streaming, and Kafka Streaming. You\u2019ll start by understanding the components of data streaming systems. You\u2019ll then build a real-time analytics application. Students will also compile data and run analytics, as well as draw insights from reports generated by the streaming console.<\/p>\nGO TO TRAINING<\/a>\n

<\/div>\n

NOW READ: The Best Apache Spark Books on Our Reading List<\/a><\/span><\/strong><\/h3>\n
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Solutions Review participates in affiliate programs. We may make a small commission from products purchased through this resource.<\/pre>\n","protected":false},"excerpt":{"rendered":"
The Best Apache Spark Courses TITLE: Introduction to Spark with sparklyr in R Platform: DataCamp Description: R is mostly optimized to help you write data analysis code quickly and readably. Apache Spark is designed to analyze huge datasets quickly. The\u00a0sparklyr\u00a0package lets you write\u00a0dplyr\u00a0R code that runs on a Spark cluster, giving you the best of […]<\/p>\n","protected":false},"author":23,"featured_media":7697,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[4],"tags":[141,1295,1294,1293,1208,879,443,1263,621,1250,1210,1207,1296,1213,1209,1211],"acf":[],"yoast_head":"\nThe 12 Best Apache Spark Courses and Online Training for 2026<\/title>\n<meta name=\"description\" content=\"The editors at Solutions Review have compiled this list of the best Apache Spark courses and online training to consider taking.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/solutionsreview.com\/business-intelligence\/the-best-apache-spark-courses-and-online-training\/\" \/>\n<meta name=\"twitter:label1\" 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